Evidence map›Paper›PMID 39479559›Full record

ArticleRisk management and healthcare policy2024

Evaluation of Inflammatory Markers in Patients with COVID-19 Combined with Type 2 Diabetes Mellitus.

Jingjing Li, Yu Zhang, Rui Wu, Guodong Ma, Li Sheng, Yun Feng, Yang Han, Lina Zhang, Janfeng Guo, Rongbo Li

Abstract read
In one paragraph

Article in Risk management and healthcare policy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. COVID-19 and Diabetes: Clinical Symptoms, Acute Kidney Injury, Inflammatory Response, and Poor Prognosis Factors.Medical science monitor : international medical journal of experimental and clinical research · 2026
    Observational
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Jingjing LiDepartment of Infectious Diseases, Hohhot First Hospital, Hohhot, Inner Mongolia Autonomous Region, 010000, People's Republic of China.ORCID 0000-0001-6846-263X
Yu ZhangDepartment of Dermatology and Venereology, Hohhot, Inner Mongolia Autonomous Region People's Hospital, 010000, People's Republic of China.
Rui WuDepartment of Infectious Diseases, Hohhot First Hospital, Hohhot, Inner Mongolia Autonomous Region, 010000, People's Republic of China.
Guodong MaDepartment of Infectious Diseases, Hohhot First Hospital, Hohhot, Inner Mongolia Autonomous Region, 010000, People's Republic of China.
Li ShengDepartment of Infectious Diseases, Hohhot First Hospital, Hohhot, Inner Mongolia Autonomous Region, 010000, People's Republic of China.
Yun FengDepartment of Infectious Diseases, Hohhot First Hospital, Hohhot, Inner Mongolia Autonomous Region, 010000, People's Republic of China.
Yang HanDepartment of Infectious Diseases, Hohhot First Hospital, Hohhot, Inner Mongolia Autonomous Region, 010000, People's Republic of China.
Lina ZhangDepartment of Infectious Diseases, Hohhot First Hospital, Hohhot, Inner Mongolia Autonomous Region, 010000, People's Republic of China.
Janfeng GuoDepartment of Infectious Diseases, Hohhot First Hospital, Hohhot, Inner Mongolia Autonomous Region, 010000, People's Republic of China.
Rongbo LiDepartment of Infectious Diseases, Hohhot First Hospital, Hohhot, Inner Mongolia Autonomous Region, 010000, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To explore the value of different inflammatory markers in predicting the severity of coronavirus disease 2019 (COVID-19) in patients with type 2 diabetes mellitus (T2DM). Patients and Methods: A total of 116 patients with COVID-19 in patients with T2DM were collected from December 2022 to March 2023 and were divided into a mild case group (77 cases) and a severe case group (39 cases). The ratio of neutrophil to lymphocyte (NLR), platelet-to-lymphocyte ratio (PLR), neutrophil to lymphocyte × platelet ratio (NLPR), lymphocyte ratio to monocyte (LMR), systemic inflammatory response index (SIRI), systemic inflammatory index (SII), systemic inflammatory composite index (AISI), procalcitonin (PCT), C-reactive protein (CRP) and lactate dehydrogenase (LDH) were compared between the two groups. The screening effect of each variable on the progression of the disease was analyzed using receiver operating characteristic (ROC) curves. Results: NLR, PLR, NLPR, MLR, SIRI, SII, AISI, LDH, CRP and PCT in severe case group were higher than those in mild case group ( Conclusion: NLR, PLR, NLPR, SIRI, SII, LDH, CRP and PCT demonstrate greater reliability in diagnostic value and clinical utility for predicting the severity of COVID-19 in patients with T2DM.

Indexed as

COVID-19CRPinflammatory indexLDHPCTT2DM

Identifiers

PMID39479559
PMCPMC11523978

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.